Results 141 to 150 of about 703,591 (347)
Adapting Image‐Based Models for 1D Data via Spider Plot Transformation and Transfer Learning
Advanced Intelligent Systems, EarlyView.A novel method enables the use of pretrained image‐based neural networks for complex 1D data, including Raman and mid‐infrared spectra, electrocardiograms, and mass spectrometry. 2D spider plots with false‐color fill enable transfer lerning, therefore enhancing data augmentation and model explainability across diverse spectral and time series datasets.
Azadeh Mokari +2 more
wiley +1 more source
Accurate human genome analysis with element avidity sequencing
BMC BioinformaticsBackground New sequencing technologies provide options for the scientific community to design studies and build clinical workflows. These options expand user choice, and can enable more accurate, scalable, or affordable workflows depending on the fit ...
Andrew Carroll +13 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a method to quantify the printing quality of roll‐to‐roll gravure‐printed electronics by combining deep learning and spatial association analysis. The proposed approach enables real‐time objective evaluation of printing quality, and optimizes process conditions through response surface methodology. It significantly enhances printing
Juhuhn Kim +6 more
wiley +1 more source
Generalized Power Attacks against Crypto Hardware using Long-Range Deep Learning
Transactions on Cryptographic Hardware and Embedded SystemsTo make cryptographic processors more resilient against side-channel attacks, engineers have developed various countermeasures. However, the effectiveness of these countermeasures is often uncertain, as it depends on the complex interplay between ...
Elie Bursztein +5 more
doaj +1 more source
La revolución Google Scholar. Destapando la caja de Pandora académica
, 1970 Juan Carlos Marcos Recio
openalex +2 more sources
On‐Device Brain Tumor Classification from MR Images Using Smartphone
Advanced Intelligent Systems, EarlyView.Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun +3 more
wiley +1 more source
Nature CommunicationsSimulating quantum dynamics is one of the most important applications of quantum computers. Traditional approaches for quantum simulation involve preparing the full evolved state of the system and then measuring some physical quantity. Here, we present a
Rolando D. Somma +4 more
doaj +1 more source
A Literature Survey on Potential Private User Information Leakage in Metaverse Applications
Advanced Intelligent Systems, EarlyView.This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley +1 more source
Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis
Scientific ReportsCurrent care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes that may occur between visits being missed.
Subhrajit Roy +7 more
doaj +1 more source